Symptoms - scheduler experiment

Reproduce paper

To create the PDF of the computational notebook you can run the following commands in a new R session. If you have problems rendering the PDF you can execute each chunk independently in RStudio.

This document does not install the required R packages by default. You can run the script install.R to install all required dependencies on a new R installation, or use install.packages(..) to install missing R packages.

The plots and tables use the packages ggplot2, knitr::kable() and kableExtra.

Required libraries and runtime environment description are as follows.

library(tidyverse)
library(kableExtra)
library(here)
library(googledrive)
library(lubridate)
library(stringr)
library(scales)
library(plotly)

Data preparation

Scheduler assessment

Key Variables:

• quantitative (interval)

  • plan_date (datetime): task planning time.
  • exec_date (datetime): task execution time.
    

• quantitative (ratio)

  • delay (numeric): execution delay in seconds ((exec_date - plan_date) - 60).

• categorital (ordinal)

  • battery(numeric): battery level

• categorical (nominal)

  • device_id/device_name: device identifier/name
  • exp_id: experiment identifier.
  • scheduler: scheduler type.

127.075 observations registered in both experiments. Table below shows total numbers per device.

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels